The Data Science Institute, Master of Data Science program and the Department of Computer Science are pleased to announce a full-day workshop titled “Is Machine Learning Suitable for Your Projects?” scheduled for Saturday, August 24, starting at 9am on the Vancouver Campus.
Discover how machine learning can improve your research projects in our interactive workshop tailored for non-STEM students and researchers. We will demystify the fundamentals of machine learning and clarify what it can and cannot do for your research.
By the end of the workshop, you will be familiar with the fundamentals of machine learning and different types of machine learning. You will be able to describe the inputs and outputs of various machine learning models and identify their capabilities and limitations.
Morning session: We’ll begin with a high-level introduction to machine learning, exploring key concepts through examples of supervised and unsupervised learning, deep learning, computer vision, and large language models (LLMs). This session aims to provide a broad understanding of various ML techniques and their potential applications.
Afternoon session: We will dive into a hands-on lab where you’ll have the opportunity to apply what you’ve learned. Bring your project ideas to brainstorm suitable ML approaches, or analyze pre-prepared model outputs to gain insights into their real-world applications. This session is designed to help you identify how machine learning can be integrated into your own research context, offering practical experience and personalized guidance.
This free workshop is open to UBC non-STEM graduate students and post-doctoral fellows, and Computer Science Alumni. Due to the hands-on nature of the workshop, only 40 seats will be available.
The registration link will become available starting Monday, July 29 for UBC non-STEM graduate students and post-doctoral fellows, and Tuesday, August 6 for UBC Computer Science Alumni.
Registration Link: https://my.cs.ubc.ca/event/2024/08/machine-learning-full-day-workshop
For any questions, please contact us at dsi.admin@science.ubc.ca.